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MultiTaskLassoCV — scikit-learn 1.7.1 documenta...
MultiTaskLasso is: ( 1 / ( 2 * n_samples )) * || Y - XW ||^ Fro_2 + alpha...random_state = 0 ) . fit ( X , y ) >>> r2_score ( y , reg . predict ( X ))...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLassoCV.html -
IncrementalPCA — scikit-learn 1.7.1 documentation
Bishop, 12.2.1 p. 574 or http://www.miketipping.com/papers/met-mppca.pdf...Issue 1-3, pp. 125-141, May 2008. See https://www.cs.toronto.edu...scikit-learn.org/stable/modules/generated/sklearn.decomposition.IncrementalPCA.html -
CountVectorizer — scikit-learn 1.7.1 documentation
ngram_range=(1 , 1) , analyzer='word' , max_df=1.0 , min_df=1 , max_features=None...analyzer {‘word’, ‘char’, ‘char_wb’} or callable, default=’word’ Whether...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html -
LarsCV — scikit-learn 1.7.1 documentation
LarsCV ( cv = 5 ) . fit ( X , y ) >>> reg . score ( X , y ) 0.9996...,]) array([154.3996]) fit ( X , y , ** params ) [source] # Fit...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LarsCV.html -
decomposition.rst.txt
tion.py` .. _IncrementalPCA: Incremental PCA ---------- The :class:`PCA`...the SVD. .. figure:: ../auto_examples/decomposition/images/sphx...scikit-learn.org/stable/_sources/modules/decomposition.rst.txt -
grid_search.rst.txt
[1, 10, 100, 1000], 'gamma': [0.001, 0.0001], 'kernel': ['rbf']},...= [ {'C': [1, 10, 100, 1000], 'kernel': ['linear']}, {'C': [1,...scikit-learn.org/stable/_sources/modules/grid_search.rst.txt -
as_float_array — scikit-learn 1.7.1 documentation
as_float_array ( array ) array([0., 0., 1., 2., 2.]) On this page...= np . array ([ 0 , 0 , 1 , 2 , 2 ], dtype = np . int64 ) >>>...scikit-learn.org/stable/modules/generated/sklearn.utils.as_float_array.html -
indexable — scikit-learn 1.7.1 documentation
iterables ) [[1, 2, 3], array([2, 3, 4]), None, <...Sparse...dtype...= [ ... [ 1 , 2 , 3 ], np . array ([ 2 , 3 , 4 ]), None , csr_matrix...scikit-learn.org/stable/modules/generated/sklearn.utils.indexable.html -
PLSCanonical — scikit-learn 1.7.1 documentation
0. , 1. ], [ 1. , 0. , 0. ], [ 2. , 2. , 2. ], [ 2. , 5. , 4....4. ]] >>> y = [[ 0.1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ],...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSCanonical.html -
LabelPropagation — scikit-learn 1.7.1 documenta...
University, 2002 http://pages.cs.wisc.edu/~jerryzhu/pub/CMU-CALD-02-107.pdf...label_prop_model . fit ( iris . data , labels ) LabelPropagation(...) fit...scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.LabelPropagation.html